Search Results for author:
Found 8 papers, 6 papers with code
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
SurvMamba is implemented with a Hierarchical Interaction Mamba (HIM) module that facilitates efficient intra-modal interactions at different granularities, thereby capturing more detailed local features as well as rich global representations.
End-to-End Autonomous Driving through V2X Cooperation
Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving.
RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception
The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent years.
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
It is designed to enhance the model's generalizability by leveraging the interaction between localized visual patterns and fine-grained pathological semantics.
Learning Cooperative Trajectory Representations for Motion Forecasting
Specifically, we present V2X-Graph, the first interpretable and end-to-end learning framework for cooperative motion forecasting.
QUEST: Query Stream for Practical Cooperative Perception
In this paper, we propose the concept of query cooperation to enable interpretable instance-level flexible feature interaction.
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of surrounding traffic participants can significantly improve decision-making and safety in autonomous driving.
Oceanic Eddy Identification Using an AI Scheme
Oceanic eddies play an important role in global energyand material transport, and contribute greatly to nutrient and phytoplankton distribution.
